Math 459/559: Bioinformatics

 

Tuesday 2:00-4:50 pm

 

09/11/2007-12/18/2007

CEH 0217

 

Grading:

Instructor: Xijin Ge     Tel. 688-6879  Email xijin.ge at sdstate dot edu

                  Office hours: Drop in & by appointment    (HH124)

                 

Textbook:

Bioinformatics: Sequence and Genome Analysis (2nd Ed.)

by David W. Mount     (ISBN 978-0879697129)

 

This course is an introduction to bioinformatics for students in mathematics, physical sciences and biological sciences. No prior knowledge on molecular biology is required as key concepts will be reviewed for math and science students. Using real data as examples, a problem-centered strategy will be adopted throughout the class so that students can understand algorithms in the context of the biological problems. Students will be exposed to public databases, major bioinformatics algorithms and software, and some open questions in bioinformatics. Programming experience is helpful, but not required. Tutorial on Perl will be provided as several assignments involve simple scripts in Perl. Students can use their favorite programming language.

 

 

Attendance: While attendance is not a formal part of the course grade, there will be a lot of material presented in the class that is not in the book, so regular attendance is important. If you need to miss a class meeting, you are responsible for getting the material covered during that class meeting and for submitting any homework that was due during that class meeting.

 

Academic Freedom and Responsibility Statement Freedom in learning. Students are responsible for learning the content of any course of study in which they are enrolled. Under Board of Regents and University policy, student academic performance shall be evaluated solely on an academic basis and students should be free to take reasoned exception to the data or views offered in any course of study. Students who believe that an academic evaluation is unrelated to academic standards but is related instead to judgment of their personal opinion or conduct should first contact the instructor of the course. If the student remains unsatisfied, the student may contact the department head and/or dean of the college which offers the class to initiate a review of the evaluation.

 

Student with Disability: Contact SDSU Disability Service at 688-4504 (Coordinator Nancy Hartenhoff-Crooks email: Nancy.Crooks@sdstate.edu )

 

 

Tentative Schedule:

 

  1. Historical introduction of bioinformatics
  2. Pair-wise sequence alignment (BLAST); scoring matrices
  3. Multiple sequence alignments
  4. Tutorial on Perl for bioinformatics; Searching for motifs in DNA sequences
  5. DNA microarrays: Intro & normalization methods
  6. Statistical methods to identify differentially expressed genes
  7. Interpretation of microarray data (Gene Ontology; Pathway Analysis; Detection of chromosomal abnormalities)
  8. Midterm review and exam
  9. Clustering analysis methods (supervised and unsupervised)
  10. RNA structure
  11. Proteomics and protein interaction networks
  12. Hidden Markov-model; gene prediction
  13. Phylogenetic trees
  14. Final review
  15. Discussion and semester project